wuji-sdk 2026.7.2

Wuji SDK: Python package for automatic device discovery and real-time data streaming with Wuji devices.

wuji-sdk (Python)

Python SDK for Wuji series devices. Provides automatic device discovery, connection management, and real-time data streaming for Wuji Glove, Wuji Hand 2, and other Wuji peripherals. Features a type-safe semantic API with native async/await and callback-based subscription support, multi-channel MCAP recording, and rich hand tracking data including joint angles, skeleton, and fingertip poses.

For detailed documentation, see the Wuji Docs Center.

Looking for the C SDK? See the C SDK README.

Installation

pip install wuji-sdk

Quick Start

import time
from wuji_sdk import SdkManager

manager = SdkManager.instance()
devices = manager.scan()
if not devices:
    print("No devices found")
    exit()
glove = manager.connect(sn=devices[0].sn, device_name="glove")

sub = glove.tactile().subscribe_with_callback(
    callback=lambda frame: print(f"Max pressure: {max(frame.data):.2f}")
)

time.sleep(10)
sub.close()

More examples: examples/python/.

Examples

• wuji_glove/0.subscribe_callback.py: subscribe to glove streams with callbacks; pass --hand-model-path to set a custom online-IK URDF first.
• wuji_glove/1.subscribe_async.py: subscribe to glove streams with async/await; pass --hand-model-path to set a custom online-IK URDF first.
• wuji_glove/2.recording.py: record glove data to MCAP.
• wuji_glove/3.offline_pipeline.py: run hand tracking from offline frames.
• wuji_glove/4.user.py: inspect, create, and switch local SDK users.
• wuji_glove/5.calibration.py: run IK calibration with terminal guidance or API-style callbacks.
• wuji_glove/6.emf_poses_rate_divider.py: lower the EMF pose output rate and compare affected stream rates.
• retargeting/0.retarget_session.py: map hand keypoints (21×3) to a joint command with RetargetSession — no hardware needed.
• retargeting/1.teleop_real.py: live teleoperation — drive a Wuji Hand / Wuji Hand 2 from a Wuji Glove (an example built on RetargetSession; swap the glove read for any (21,3) keypoint source).

Retargeting

Map human hand keypoints to Wuji Hand joint commands. Install the runtime dependencies first:

pip install "wuji-sdk[retarget]"

The SDK exposes the pure retarget interface — one frame at a time, supply keypoints from any source:

import numpy as np
from wuji_sdk import Handedness, retargeting

# The hand model selects the builtin tuning config internally — no config path to manage.
session = retargeting.RetargetSession.for_hand(
    retargeting.HandModel.WujiHand2, side=Handedness.Right
)
qpos = session.step(np.zeros((21, 3), dtype=np.float32))  # -> (20,) joint command (firmware order)

Driving a hand live (read → retarget → send) is plain application code built on this interface — see retargeting/1.teleop_real.py for a complete glove → hand loop.

Retargeting is available on Linux x86_64 / aarch64.

License

MIT